[HTML][HTML] Artificial intelligence technologies and compassion in healthcare: A systematic scoping review
E Morrow, T Zidaru, F Ross, C Mason, KD Patel… - Frontiers in …, 2023 - frontiersin.org
Background Advances in artificial intelligence (AI) technologies, together with the availability
of big data in society, creates uncertainties about how these developments will affect …
of big data in society, creates uncertainties about how these developments will affect …
[HTML][HTML] AI for managing open innovation: Opportunities, challenges, and a research agenda
Artificial intelligence (AI) provides ample opportunities for enabling effective knowledge
sharing among organizations seeking to foster open innovation. Past research often …
sharing among organizations seeking to foster open innovation. Past research often …
[HTML][HTML] Generative AI in healthcare: an implementation science informed translational path on application, integration and governance
S Reddy - Implementation Science, 2024 - Springer
Background Artificial intelligence (AI), particularly generative AI, has emerged as a
transformative tool in healthcare, with the potential to revolutionize clinical decision-making …
transformative tool in healthcare, with the potential to revolutionize clinical decision-making …
[HTML][HTML] Generative language models and open notes: exploring the promise and limitations
Patients' online record access (ORA) is growing worldwide. In some countries, including the
United States and Sweden, access is advanced with patients obtaining rapid access to their …
United States and Sweden, access is advanced with patients obtaining rapid access to their …
An agile new research framework for hybrid human-AI teaming: Trust, transparency, and transferability
We propose a new research framework by which the nascent discipline of human-AI
teaming can be explored within experimental environments in preparation for transferal to …
teaming can be explored within experimental environments in preparation for transferal to …
[HTML][HTML] Design and evaluation challenges of conversational agents in health care and well-being: selective review study
Background Health care and well-being are 2 main interconnected application areas of
conversational agents (CAs). There is a significant increase in research, development, and …
conversational agents (CAs). There is a significant increase in research, development, and …
[HTML][HTML] The digital scribe in clinical practice: a scoping review and research agenda
The number of clinician burnouts is increasing and has been linked to a high administrative
burden. Automatic speech recognition (ASR) and natural language processing (NLP) …
burden. Automatic speech recognition (ASR) and natural language processing (NLP) …
[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
[HTML][HTML] Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
Background Effective deployment of AI tools in primary health care requires the engagement
of practitioners in the development and testing of these tools, and a match between the …
of practitioners in the development and testing of these tools, and a match between the …
[HTML][HTML] Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review
Abstract Background Natural Language Processing (NLP) applications have developed
over the past years in various fields including its application to clinical free text for named …
over the past years in various fields including its application to clinical free text for named …